The ridesharing economy is experiencing rapid growth and progress. Companies such as Uber and Lyft are continuing to grow while providing their platform as an organizing medium for ridesharing, increasing consumer utility as well as employing thousands in part-time positions.

However, many challenges remain in the modeling of and understanding of rides-haring services, many of which are not currently under investigation by the academic community.
In this paper an agent-based model is developed to simulate a ridesharing service in the Washington D.C. metropolitan region. The model forms the basis for future experiments to determine the levels of utility to both riders and [...]

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